mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-18 10:16:49 +00:00
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration Problem: Infrastructure configuration changes (e.g., Traefik port settings) were being made based on assumptions without consulting official documentation, violating the 'Evidence > assumptions' principle in PRINCIPLES.md. Solution: - Added Infrastructure Configuration Validation section to MODE_Orchestration.md - Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.) - Enforces MODE_DeepResearch activation for investigation - BLOCKS assumption-based configuration changes Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default) This prevents production outages from infrastructure misconfiguration by ensuring all technical recommendations are backed by official documentation. * feat: Add PM Agent (Project Manager Agent) for seamless orchestration Introduces PM Agent as the default orchestration layer that coordinates all sub-agents and manages workflows automatically. Key Features: - Default orchestration: All user interactions handled by PM Agent - Auto-delegation: Intelligent sub-agent selection based on task analysis - Docker Gateway integration: Zero-token baseline with dynamic MCP loading - Self-improvement loop: Automatic documentation of patterns and mistakes - Optional override: Users can specify sub-agents explicitly if desired Architecture: - Agent spec: SuperClaude/Agents/pm-agent.md - Command: SuperClaude/Commands/pm.md - Updated docs: README.md (15→16 agents), agents.md (new Orchestration category) User Experience: - Default: PM Agent handles everything (seamless, no manual routing) - Optional: Explicit --agent flag for direct sub-agent access - Both modes available simultaneously (no user downside) Implementation Status: - ✅ Specification complete - ✅ Documentation complete - ⏳ Prototype implementation needed - ⏳ Docker Gateway integration needed - ⏳ Testing and validation needed Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration) * feat: Add Agent Orchestration rules for PM Agent default activation Implements PM Agent as the default orchestration layer in RULES.md. Key Changes: - New 'Agent Orchestration' section (CRITICAL priority) - PM Agent receives ALL user requests by default - Manual override with @agent-[name] bypasses PM Agent - Agent Selection Priority clearly defined: 1. Manual override → Direct routing 2. Default → PM Agent → Auto-delegation 3. Delegation based on keywords, file types, complexity, context User Experience: - Default: PM Agent handles everything (seamless) - Override: @agent-[name] for direct specialist access - Transparent: PM Agent reports delegation decisions This establishes PM Agent as the orchestration layer while respecting existing auto-activation patterns and manual overrides. Next Steps: - Local testing in agiletec project - Iteration based on actual behavior - Documentation updates as needed * refactor(pm-agent): redesign as self-improvement meta-layer Problem Resolution: PM Agent's initial design competed with existing auto-activation for task routing, creating confusion about orchestration responsibilities and adding unnecessary complexity. Design Change: Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents complete tasks, focusing on: - Post-implementation documentation and pattern recording - Immediate mistake analysis with prevention checklists - Monthly documentation maintenance and noise reduction - Pattern extraction and knowledge synthesis Two-Layer Orchestration System: 1. Task Execution Layer: Existing auto-activation handles task routing (unchanged) 2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new) Files Modified: - SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design - Category: orchestration → meta - Triggers: All user interactions → Post-implementation, mistakes, monthly - Behavioral Mindset: Continuous learning system - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE - SuperClaude/Core/RULES.md: Agent Orchestration section updated - Split into Task Execution Layer + Self-Improvement Layer - Added orchestration flow diagram - Clarified PM Agent activates AFTER task completion - README.md: Updated PM Agent description - "orchestrates all interactions" → "ensures continuous learning" - Docs/User-Guide/agents.md: PM Agent section rewritten - Section: Orchestration Agent → Meta-Layer Agent - Expertise: Project orchestration → Self-improvement workflow executor - Examples: Task coordination → Post-implementation documentation - PR_DOCUMENTATION.md: Comprehensive PR documentation added - Summary, motivation, changes, testing, breaking changes - Two-layer orchestration system diagram - Verification checklist Integration Validated: Tested with agiletec project's self-improvement-workflow.md: ✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases ✅ Complements (not competes with) existing workflow ✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it Breaking Changes: None - Existing auto-activation continues unchanged - Specialist agents unaffected - User workflows remain the same - New capability: Automatic documentation and knowledge maintenance Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add Claude Code conversation history management research Research covering .jsonl file structure, performance impact, and retention policies. Content: - Claude Code .jsonl file format and message types - Performance issues from GitHub (memory leaks, conversation compaction) - Retention policies (consumer vs enterprise) - Rotation recommendations based on actual data - File history snapshot tracking mechanics Source: Moved from agiletec project (research applicable to all Claude Code projects) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add Development documentation structure Phase 1: Documentation Structure complete - Add Docs/Development/ directory for development documentation - Add ARCHITECTURE.md - System architecture with PM Agent meta-layer - Add ROADMAP.md - 5-phase development plan with checkboxes - Add TASKS.md - Daily task tracking with progress indicators - Add PROJECT_STATUS.md - Current status dashboard and metrics - Add pm-agent-integration.md - Implementation guide for PM Agent mode This establishes comprehensive documentation foundation for: - System architecture understanding - Development planning and tracking - Implementation guidance - Progress visibility Related: #pm-agent-mode #documentation #phase-1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: PM Agent session lifecycle and PDCA implementation Phase 2: PM Agent Mode Integration (Design Phase) Commands/pm.md updates: - Add "Always-Active Foundation Layer" concept - Add Session Lifecycle (Session Start/During Work/Session End) - Add PDCA Cycle (Plan/Do/Check/Act) automation - Add Serena MCP Memory Integration (list/read/write_memory) - Document auto-activation triggers Agents/pm-agent.md updates: - Add Session Start Protocol (MANDATORY auto-activation) - Add During Work PDCA Cycle with example workflows - Add Session End Protocol with state preservation - Add PDCA Self-Evaluation Pattern - Add Documentation Strategy (temp → patterns/mistakes) - Add Memory Operations Reference Key Features: - Session start auto-activation for context restoration - 30-minute checkpoint saves during work - Self-evaluation with think_about_* operations - Systematic documentation lifecycle - Knowledge evolution to CLAUDE.md Implementation Status: - ✅ Design complete (Commands/pm.md, Agents/pm-agent.md) - ⏳ Implementation pending (Core components) - ⏳ Serena MCP integration pending Salvaged from mistaken development in ~/.claude directory Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: disable Serena MCP auto-browser launch Disable web dashboard and GUI log window auto-launch in Serena MCP server to prevent intrusive browser popups on startup. Users can still manually access the dashboard at http://localhost:24282/dashboard/ if needed. Changes: - Add CLI flags to Serena run command: - --enable-web-dashboard false - --enable-gui-log-window false - Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml) - Aligns with AIRIS MCP Gateway integration approach 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename directories to lowercase for PEP8 compliance - Rename superclaude/Agents -> superclaude/agents - Rename superclaude/Commands -> superclaude/commands - Rename superclaude/Core -> superclaude/core - Rename superclaude/Examples -> superclaude/examples - Rename superclaude/MCP -> superclaude/mcp - Rename superclaude/Modes -> superclaude/modes This change follows Python PEP8 naming conventions for package directories. * style: fix PEP8 violations and update package name to lowercase Changes: - Format all Python files with black (43 files reformatted) - Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml - Fix import statements to use lowercase package name - Add missing imports (timedelta, __version__) - Remove old SuperClaude.egg-info directory PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit). * docs: add PM Agent development documentation Add comprehensive PM Agent development documentation: - PM Agent ideal workflow (7-phase autonomous cycle) - Project structure understanding (Git vs installed environment) - Installation flow understanding (CommandsComponent behavior) - Task management system (current-tasks.md) Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(pm-agent): add self-correcting execution and warning investigation culture ## Changes ### superclaude/commands/pm.md - Add "Self-Correcting Execution" section with root cause analysis protocol - Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal - Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute - Document anti-patterns (retry without understanding) and correct patterns (research-first) ### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md - Add PDCA workflow hypothesis document for PM Agent autonomous enhancement ## Rationale PM Agent must never retry failed operations without understanding root causes. All warnings and errors require investigation via context7/WebFetch/documentation to ensure production-quality code and prevent technical debt accumulation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(installer): add airis-mcp-gateway MCP server option ## Changes - Add airis-mcp-gateway to MCP server options in installer - Configuration: GitHub-based installation via uvx - Repository: https://github.com/oraios/airis-mcp-gateway - Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading ## Implementation Added to setup/components/mcp.py self.mcp_servers dictionary with: - install_method: github - install_command: uvx test installation - run_command: uvx runtime execution - required: False (optional server) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local> Co-authored-by: Claude <noreply@anthropic.com>
199 lines
5.9 KiB
Python
199 lines
5.9 KiB
Python
"""
|
|
Windows-compatible symbol fallbacks for SuperClaude UI
|
|
Handles Unicode encoding issues on Windows terminals
|
|
"""
|
|
|
|
import sys
|
|
import os
|
|
import platform
|
|
|
|
|
|
def can_display_unicode() -> bool:
|
|
"""
|
|
Detect if terminal can display Unicode symbols safely
|
|
|
|
Returns:
|
|
True if Unicode is safe to use, False if fallbacks needed
|
|
"""
|
|
# Check if we're on Windows with problematic encoding
|
|
if platform.system() == "Windows":
|
|
# Check console encoding
|
|
try:
|
|
# Test if we can encode common Unicode symbols
|
|
test_symbols = "✓✗█░⠋═"
|
|
test_symbols.encode(sys.stdout.encoding or "cp1252")
|
|
return True
|
|
except (UnicodeEncodeError, LookupError):
|
|
return False
|
|
|
|
# Check if stdout encoding supports Unicode
|
|
encoding = getattr(sys.stdout, "encoding", None)
|
|
if encoding and encoding.lower() in ["utf-8", "utf8"]:
|
|
return True
|
|
|
|
# Conservative fallback for unknown systems
|
|
return False
|
|
|
|
|
|
class Symbols:
|
|
"""Cross-platform symbol definitions with Windows fallbacks"""
|
|
|
|
def __init__(self):
|
|
self.unicode_safe = can_display_unicode()
|
|
|
|
@property
|
|
def checkmark(self) -> str:
|
|
"""Success checkmark symbol"""
|
|
return "✓" if self.unicode_safe else "+"
|
|
|
|
@property
|
|
def crossmark(self) -> str:
|
|
"""Error/failure cross symbol"""
|
|
return "✗" if self.unicode_safe else "x"
|
|
|
|
@property
|
|
def block_filled(self) -> str:
|
|
"""Filled block for progress bars"""
|
|
return "█" if self.unicode_safe else "#"
|
|
|
|
@property
|
|
def block_empty(self) -> str:
|
|
"""Empty block for progress bars"""
|
|
return "░" if self.unicode_safe else "-"
|
|
|
|
@property
|
|
def double_line(self) -> str:
|
|
"""Double line separator"""
|
|
return "═" if self.unicode_safe else "="
|
|
|
|
@property
|
|
def spinner_chars(self) -> str:
|
|
"""Spinner animation characters"""
|
|
if self.unicode_safe:
|
|
return "⠋⠙⠹⠸⠼⠴⠦⠧⠇⠏"
|
|
else:
|
|
return "|/-\\|/-\\"
|
|
|
|
@property
|
|
def box_top_left(self) -> str:
|
|
"""Box drawing: top-left corner"""
|
|
return "╔" if self.unicode_safe else "+"
|
|
|
|
@property
|
|
def box_top_right(self) -> str:
|
|
"""Box drawing: top-right corner"""
|
|
return "╗" if self.unicode_safe else "+"
|
|
|
|
@property
|
|
def box_bottom_left(self) -> str:
|
|
"""Box drawing: bottom-left corner"""
|
|
return "╚" if self.unicode_safe else "+"
|
|
|
|
@property
|
|
def box_bottom_right(self) -> str:
|
|
"""Box drawing: bottom-right corner"""
|
|
return "╝" if self.unicode_safe else "+"
|
|
|
|
@property
|
|
def box_horizontal(self) -> str:
|
|
"""Box drawing: horizontal line"""
|
|
return "═" if self.unicode_safe else "="
|
|
|
|
@property
|
|
def box_vertical(self) -> str:
|
|
"""Box drawing: vertical line"""
|
|
return "║" if self.unicode_safe else "|"
|
|
|
|
def make_separator(self, length: int) -> str:
|
|
"""Create a separator line of specified length"""
|
|
return self.double_line * length
|
|
|
|
def make_box_line(self, length: int) -> str:
|
|
"""Create a box horizontal line of specified length"""
|
|
return self.box_horizontal * length
|
|
|
|
|
|
# Global instance for easy import
|
|
symbols = Symbols()
|
|
|
|
|
|
def safe_print(*args, **kwargs):
|
|
"""
|
|
Print function that handles Unicode encoding errors gracefully
|
|
|
|
Falls back to ASCII-safe representation if Unicode fails
|
|
"""
|
|
try:
|
|
print(*args, **kwargs)
|
|
except UnicodeEncodeError:
|
|
# Convert arguments to safe strings
|
|
safe_args = []
|
|
for arg in args:
|
|
if isinstance(arg, str):
|
|
# Replace problematic Unicode characters
|
|
safe_arg = (
|
|
arg.replace("✓", "+")
|
|
.replace("✗", "x")
|
|
.replace("█", "#")
|
|
.replace("░", "-")
|
|
.replace("═", "=")
|
|
.replace("⠋", "|")
|
|
.replace("⠙", "/")
|
|
.replace("⠹", "-")
|
|
.replace("⠸", "\\")
|
|
.replace("⠼", "|")
|
|
.replace("⠴", "/")
|
|
.replace("⠦", "-")
|
|
.replace("⠧", "\\")
|
|
.replace("⠇", "|")
|
|
.replace("⠏", "/")
|
|
.replace("╔", "+")
|
|
.replace("╗", "+")
|
|
.replace("╚", "+")
|
|
.replace("╝", "+")
|
|
.replace("║", "|")
|
|
)
|
|
safe_args.append(safe_arg)
|
|
else:
|
|
safe_args.append(str(arg))
|
|
|
|
# Try printing with safe arguments
|
|
try:
|
|
print(*safe_args, **kwargs)
|
|
except UnicodeEncodeError:
|
|
# Last resort: encode to ASCII with replacement
|
|
final_args = []
|
|
for arg in safe_args:
|
|
if isinstance(arg, str):
|
|
final_args.append(arg.encode("ascii", "replace").decode("ascii"))
|
|
else:
|
|
final_args.append(str(arg))
|
|
print(*final_args, **kwargs)
|
|
|
|
|
|
def format_with_symbols(text: str) -> str:
|
|
"""
|
|
Replace Unicode symbols in text with Windows-compatible alternatives
|
|
"""
|
|
if symbols.unicode_safe:
|
|
return text
|
|
|
|
# Replace symbols with safe alternatives
|
|
replacements = {
|
|
"✓": symbols.checkmark,
|
|
"✗": symbols.crossmark,
|
|
"█": symbols.block_filled,
|
|
"░": symbols.block_empty,
|
|
"═": symbols.double_line,
|
|
"╔": symbols.box_top_left,
|
|
"╗": symbols.box_top_right,
|
|
"╚": symbols.box_bottom_left,
|
|
"╝": symbols.box_bottom_right,
|
|
"║": symbols.box_vertical,
|
|
}
|
|
|
|
for unicode_char, safe_char in replacements.items():
|
|
text = text.replace(unicode_char, safe_char)
|
|
|
|
return text
|